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2 - Economic Development in Perspective

from Part I - General Approach to the Diagnostic

Published online by Cambridge University Press:  14 December 2023

António S. Cruz
Affiliation:
University of Copenhagen
Ines A. Ferreira
Affiliation:
University of Copenhagen
Johnny Flentø
Affiliation:
University of Copenhagen
Finn Tarp
Affiliation:
University of Copenhagen

Summary

This chapter provides a detailed account of the historical, political, and economic context of Mozambique. We draw attention to the big picture story and argue that the post-independence socio-economic performance and patterns of change cannot be understood without reference to the troubled history of the country. We identify fourteen core messages to keep in mind throughout the volume. They lead to selecting eight thematic areas for further study in Chapters 4 to 11.

Information

Figure 0

Figure 2.1Mozambique in Southern Africa

Source: Authors’ construction based on Natural Earth Data (available at: www.naturalearthdata.com/about/terms-of-use/).
Figure 1

Figure 2.2Road infrastructure and rivers

Source: Authors’ construction using © OpenStreetMap contributors (available at: www.openstreetmap.org/, www.opendatacommons.org/) for roads and the Regional Centre for Mapping of Resources for Development (RCMRD) (available at: https://opendata.rcmrd.org/) for waterways.
Figure 2

Figure 2.3Administrative map of Mozambique

Source: Authors’ construction based on Natural Earth Data (available at www.naturalearthdata.com/about/terms-of-use/).
Figure 3

Figure 2.4Real GDP growth per capita, smoothed (1991–2019)Note: Series are smoothed using a Kernel-weighted local polynomial smoothing algorithm; growth is based on GDP in constant 2011 international prices; countries are as follows: Mozambique = MOZ, Ethiopia = ETH, Ghana = GHA, Tanzania = TZA.

Source: Authors’ estimates based on data from WDI (World Bank 2020).
Figure 4

Figure 2.5Sectoral trends in employment (1997–2015)

Source: Authors’ estimates based on household survey data series 1996/97, 2002/03, 2008/09, and 2014/15 (see MEF/DEEF 2016); private services include finance; public services include health, education, and public administration.
Figure 5

Figure 2.6Sectoral contributions to levels of real value added (1991–2019)Note: Figure refers to the percentage contribution to production value-added in constant 2014 prices; public services include health, education, and public administration.

Source: Authors’ estimates based on unpublished data from National Institute for Statistics.
Figure 6

Figure 2.7Labour productivity differences by sector (1997–2015)Note: X-axis is the natural logarithm of the ratio of labour productivity of the indicated sector to aggregate labour productivity; thus, values below 0 show lower than average productivity; private services include finance.

Source: Authors’ estimates based on household survey data series 1996/97, 2002/03, 2008/09, and 2014/15 (see MEF/DEEF 2016).
Figure 7

Figure 2.8Sectoral contributions to real value-added growth, smoothed (1991–2019)Note: Manufacturing includes construction and utilities; growth refers to production value-added in constant 2014 prices; non-linear five period filter used.

Source: Authors’ estimates based on unpublished data from National Institute for Statistics.
Figure 8

Figure 2.9ODA as percentage of GNI, 1990–2018

Source: Net ODA received (% of GNI) from World Bank (2020) data.
Figure 9

Figure 2.10Major exports in US$ millions (2000–2019)Notes: Primary materials include energy exports; agricultural goods include fisheries.

Source: Authors’ estimates based on unpublished data from Central Bank of Mozambique.
Figure 10

Figure 2.11Export complexity score (1991–2017)Notes: Lower scores mean less complex exports.

Source: Smoothed estimates from The Growth Lab at Harvard University (2020) data.

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